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31,377 Article Results

Improved Performance of DFIG-generators for Wind Turbines Variable-speed

10.11591/ijpeds.v9.i4.pp1875-1890
Ihedrane Yasmine , El Bekkali Chakib , Bossoufi Badre
The following article presents the control of the power generated by the Doubly Fed Induction Generator, integrated into the wind system, whose rotor is linked to the power converters (Rotor Side Convert (RSC) and Grid Side Converter (GSC)) interfaced by the DC-BUS and connected to the grid via a filter (Rf, Lf) in order to obtain an optimal power to the grid and to ensure system stability. The objective of this study is to understand and to make the comparison between Sliding mode Control technique and the Flux Oriented Control in order to control the Doubly Fed Induction Generator powers exchanged with the grid, it also aims at maintaining the DC-BUS voltage constant and a unit power factor at the grid connection point.The results of simulation show the performance of the Sliding mode Control in terms of monitoring, and robustness with regard to the parametric variations, compared to the Flux Oriented Control. The performance of the systems was tested and compared with the use of MATLAB/Simulink software.
Volume: 9
Issue: 4
Page: 1875-1890
Publish at: 2018-12-01

Identification of Plant Types by Leaf Textures Based on the Backpropagation Neural Network

10.11591/ijece.v8i6.pp5389-5398
Taufik Hidayat , Asyaroh Ramadona Nilawati
The number of species of plants or flora in Indonesia is abundant. The wealth of Indonesia's flora species is not to be doubted. Almost every region in Indonesia has one or some distinctive plant(s) which may not exist in other countries. In enhancing the potential diversity of tropical plant resources, good management and utilization of biodiversity is required. Based on such diversity, plant classification becomes a challenge to do. The most common way to recognize between one plant and another is to identify the leaf of each plant. Leaf-based classification is an alternative and the most effective way to do because leaves will exist all the time, while fruits and flowers may only exist at any given time. In this study, the researchers will identify plants based on the textures of the leaves. Leaf feature extraction is done by calculating the area value, perimeter, and additional features of leaf images such as shape roundness and slenderness. The results of the extraction will then be selected for training by using the backpropagation neural network. The result of the training (the formation of the training set) will be calculated to produce the value of recognition accuracy with which the feature value of the dataset of the leaf images is then to be matched. The result of the identification of plant species based on leaf texture characteristics is expected to accelerate the process of plant classification based on the characteristics of the leaves.
Volume: 8
Issue: 6
Page: 5389-5398
Publish at: 2018-12-01

A Comparison Study of Reactive Power Control Strategies in Wind Farms with SVC and STATCOM

10.11591/ijece.v8i6.pp4836-4846
Nazha Cherkaoui , Touria Haidi , Abdelaziz Belfqih , Faissal El Mariami , Jamal Boukherouaa
In the recent years, the integration of the wind farms into the electrical grids has increased rapidly. Especially, the wind power plants made up with doubly fed induction generators due to its many advatanges, such as being able to control its reactive power. Hence, some countries have published grid code requirements related to the reactive power that the wind turbines have to satisfy. This paper presents a coordinated reactive power control strategy in which STATCOM and doubly fed induction generators in wind power plants are used in order to bring back the voltage at the point of common coupling in the allowable range. First, reactive power requirements that the wind farms have to fulfill in some European countries are introduced. Second, the reactive power limitations of 2MW doubly fed induction generator are determined. Then, the static synchronous compensator (STATCOM) and the synchronous var compensator (SVC) FACTS (Flexible AC Transmission Systems) devices are presented. Finaly, various reactive power control strategies are applied to 10 MW wind farm, and the simulation results are analysed and compared.
Volume: 8
Issue: 6
Page: 4836-4846
Publish at: 2018-12-01

Hybrid Genetic Algorithm for Optimization of Food Composition on Hypertensive Patient

10.11591/ijece.v8i6.pp4673-4683
Aprilia Nur Fauziyah , Wayan Firdaus Mahmudy
The healthy food with attention of salt degree is one of the efforts for healthy living of hypertensive patient. The effort is important for reducing the probability of hypertension change to be dangerous disease. In this study, the food composition is build with attention nutrition amount, salt degree, and minimum cost. The proposed method is hybrid method of Genetic Algorithm (GA) and Variable Neighborhood Search (VNS). The three scenarios of hybrid GA-VNS types had been developed in this study. Although hybrid GA and VNS take more time than pure GA or pure VNS but the proposed method give better quality of solution. VNS successfully help GA avoids premature convergence and improves better solution. The shortcomings on GA in local exploitation and premature convergence is solved by VNS, whereas the shortcoming on VNS that less capability in global exploration can be solved by use GA that has advantage in global exploration.
Volume: 8
Issue: 6
Page: 4673-4683
Publish at: 2018-12-01

A Study of Meat Freshness Detection using Embedded-based pH Sensor

10.11591/ijeecs.v12.i3.pp1386-1393
Rajina R. Mohamed , Razali Yaacob , Mohamad A. Mohamed , Arniyati Ahmad , Munir Tajuddin
For the past few years, food safety incidents often occur as a result of food poisoning from various food sources such as in schools, hospitals, night markets, street stalls and the like. When the quality of food is reduced due to the low level of freshness, cleanliness factor, safety and nutrition, it can contribute to health risks. According to World Health Organization, food poisoning ailment is a global problem and almost 1 in 10 people fall ill every year from eating degraded food and 420 000 die as a result. Factors such as cost savings, low awareness on food freshness and busy routine lifestyle aggravate the food poisoning problem. Hence it is important to at least maintain the freshness of the food mainly at the prominent area such as school and hospital. There are many methods used to test the freshness food, such as visual appearance, and also classical olfaction including normal olfactory and Scentometer, which requires trained panels to taste or smell the food samples to ensure the quality or strength of the odor. However, this method is rather subjective, because the human sense of smell and taste is different and may be influenced by the weather and experience. Conventional pH and litmus paper also are the alternatives, however the material itself is easily damaged and not suitable for the color blind person. In this paper, we presented raw meat examination using pH sensor based on food acidity. Examination of food freshness level is much easier using pH sensor since it is more practical to be used by consumers at home since it can be mobile, long lived, and accurate embedded-based application. Some testing has been conducted on sensor capability reacting with several buffer solutions on meat samples left at room temperature at various periods of time. Generally, the embedded pH sensor developed has successfully tested raw meat freshness level based on acidity level of meat.
Volume: 12
Issue: 3
Page: 1386-1393
Publish at: 2018-12-01

Optic Disc and Macula Localization from Retinal Optical Coherence Tomography and Fundus Image

10.11591/ijece.v8i6.pp5050-5060
Rodiah Rodiah , Sarifuddin Madenda , Diana Tri Susetianigtias , Dewi Agushinta Rahayu , Ety Sutanty
This research used images from Optical Coherence Tomography (OCT) examination as well as fundus images to localize the optical disc and macular layer of retina. The researchers utilized the OCT and fundus image to interpret the distance between macular center and optic disc in the image. The distance will express the area of macula that can be employed for further research. This distance could recognize the thickness of macula parameters diameter that will be used in localizing process of optic disc and macula. The parameters are the circle radius, the size of window’s filter, the constant value and the size of optic disc element structure as well as the size of macula. The results of this study are expected to improve the accuracy of macula detection that experience the edema.
Volume: 8
Issue: 6
Page: 5050-5060
Publish at: 2018-12-01

Wind Turbine Mounted on A Motorcycle for Portable Charger

10.11591/ijpeds.v9.i4.pp1814-1822
G. Subhashini , Raed Abdulla , Thinaga Raj R Mohan
This paper aims to develop a wind energy harvesting system to charger an electronic device of 5V during traveling period from a place to another. Upon the situation faced by the two wheeler depending on the conventional power socket, this system was constructed to overcome the dependencies of power since the natural energy can be harvested to produce an electrical energy. The power storage unit system was done by integrating supercapacitor to storage the electrical energy hence an arduino microcontroller was been integrated with supercapacitor which able to display the percentage and voltage stored in the supercapacitor. The maximum speed of the geared DC generator is 1297 rpm and based on the testing carried out, it was observed that the maximum voltage produce at 1297 rpm able to produce 17V which sufficient to power up the entire system as it required 5.3V for operating. Besides, the system was converted into acrylic board since the system are to be implemented on two wheeler hence the acrylic board was design based on the conform ability of the user. In a nut shell, the functionality of the entire system was successfully achieved based on the objectives and overcoming the drawback from past research work.
Volume: 9
Issue: 4
Page: 1814-1822
Publish at: 2018-12-01

A New Chaotic System with a Pear-shaped Equilibrium and its Circuit Simulation

10.11591/ijece.v8i6.pp4951-4958
Aceng Sambas , Sundarapandian Vaidyanathan , Mustafa Mamat , Muhammad Afendee Mohamed , Mada Sanjaya WS
This paper reports the finding a new chaotic system with a pear-shaped equilibrium curve and makes a valuable addition to existing chaotic systems with infinite equilibrium points in the literature. The new chaotic system has a total of five nonlinearities. Lyapunov exponents of the new chaotic system are studied for verifying chaos properties and phase portraits of the new system are unveiled. An electronic circuit simulation of the new chaotic system with pear-shaped equilibrium curve is shown using Multisim to check the model feasibility.
Volume: 8
Issue: 6
Page: 4951-4958
Publish at: 2018-12-01

Effective Router Assisted Congestion Control for SDN

10.11591/ijece.v8i6.pp4467-4476
Sofia Naning Hertiana , Adit Kurniawan , Hendrawan Hendrawan , Udjianna Sekteria Pasaribu
Router Assisted Congestion Control (RACC) was designed to improve endto- end congestion control performance by using prior knowledge on network condition. However, the traditional Internet does not provide such information, which makes this approach is not feasible to deliver. Our paper addresses this network information deficiency issue by proposing a new congestion control method that works on the Software Defined Network (SDN) framework. We call this proposed method as PACEC (Path Associativity Centralized Congestion Control). In SDN, global view of the network information contains the network topology including link properties (i.e., type, capacity, power consumption, etc.). PACEC uses this information to determine the feedback signal, in order for the source to start sending data at a high rate and to quickly reach fair-share rate. The simulation shows that the efficiency and fairness of PACEC are better than Transmission Control Protocol (TCP) and Rate Control Protocol (RCP).
Volume: 8
Issue: 6
Page: 4467-4476
Publish at: 2018-12-01

Extraction of Water-body Area from High-resolution Landsat Imagery

10.11591/ijece.v8i6.pp4111-4119
B. Chandrababu Naik , B. Anuradha
Extraction of water bodies from satellite imagery has been broadly explored in the current decade. So many techniques were involved in detecting of the surface water bodies from satellite data. To detect and extracting of surface water body changes in Nagarjuna Sagar Reservoir, Andhra Pradesh from the period 1989 to 2017, were calculated using Landsat-5 TM, and Landsat-8 OLI data. Unsupervised classification and spectral water indexing methods, including the Normalized Difference Vegetation Index (NDVI), Normalized Difference Moisture Index (NDMI), Normalized Difference Water Index (NDWI), and Modified Normalized Difference Water Index (MNDWI), were used to detect and extraction of the surface water body from satellite data. Instead of all index methods, the MNDWI was performed better results. The Reservoir water area was extracted using spectral water indexing methods (NDVI, NDWI, MNDWI, and NDMI) in 1989, 1997, 2007, and 2017. The shoreline shrunk in the twenty-eight-year duration of images. The Reservoir Nagarjuna Sagar lost nearly around one-fourth of its surface water area compared to 1989. However, the Reservoir has a critical position in recent years due to changes in surface water and getting higher mud and sand. Maximum water surface area of the Reservoir will lose if such decreasing tendency follows continuously.
Volume: 8
Issue: 6
Page: 4111-4119
Publish at: 2018-12-01

A Novel Neuroglial Architecture for Modelling Singular Perturbation System

10.11591/ijece.v8i6.pp4810-4822
Samia Salah , M'hamed Hadj Sadok , Abderrezak Guessoum
This work develops a new modular architecture that emulates a recently-discovered biological paradigm. It originates from the human brain where the information flows along two different pathways and is processed along two time scales: one is a fast neural network (NN) and the other is a slow network called the glial network (GN). It was found that the neural network is powered and controlled by the glial network. Based on our biological knowledge of glial cells and the powerful concept of modularity, a novel approach called artificial neuroglial Network (ANGN) was designed and an algorithm based on different concepts of modularity was also developed. The implementation is based on the notion of multi-time scale systems. Validation is performed through an asynchronous machine (ASM) modeled in the standard singularly perturbed form. We apply the geometrical approach, based on Gerschgorin’s circle theorem (GCT), to separate the fast and slow variables, as well as the singular perturbation method (SPM) to determine the reduced models. This new architecture makes it possible to obtain smaller networks with less complexity and better performance.
Volume: 8
Issue: 6
Page: 4810-4822
Publish at: 2018-12-01

Fuzzy Homogeneous Bitopological Spaces

10.11591/ijece.v8i6.pp4619-4625
Samer Al Ghour , Almothana Azaizeh
We continue the study of the concepts of minimality and homogeneity in the fuzzy context. Concretely, we introduce two new notions of minimality in fuzzy bitopological spaces which are called minimal fuzzy open set and pairwise minimal fuzzy open set. Several relationships between such notions and a known one are given. Also, we provide results about the transformation of minimal, and pairwise minimal fuzzy open sets of a fuzzy bitopological space, via fuzzy continuous and fuzzy open mappings, and pairwise continuous and pairwise open mappings, respectively. Moreover, we present two new notions of homogeneity in the fuzzy framework. We introduce the notions of homogeneous and pairwise homogeneous fuzzy bitopological spaces. Several relationships between such notions and a known one are given. And, some connections between minimality and homogeneity are given. Finally, we show that cut bitopological spaces of a homogeneous (resp. pairwise homogeneous) fuzzy bitopological space are homogeneous (resp. pairwise homogeneous) but not conversely.
Volume: 8
Issue: 6
Page: 4619-4625
Publish at: 2018-12-01

Postdiffset Algorithm in Rare Pattern: An Implementation via Benchmark Case Study

https://ijece.iaescore.com/index.php/IJECE/article/view/11661
Mustafa Man , Wan Aezwani Wan Abu Bakar , Masita Masila Abd Jalil , Julalily Aida Jusoh
Frequent and infrequent itemset mining are trending in data mining techniques. The pattern of Association Rule (AR) generated will help decision maker or business policy maker to project for the next intended items across a wide variety of applications. While frequent itemsets are dealing with items that are most purchased or used, infrequent items are those items that are infrequently occur or also called rare items. The AR mining still remains as one of the most prominent areas in data mining that aims to extract interesting correlations, patterns, association or casual structures among set of items in the transaction databases or other data repositories. The design of database structure in association rules mining algorithms are based upon horizontal or vertical data formats. These two data formats have been widely discussed by showing few examples of algorithm of each data formats. The efforts on horizontal format suffers in huge candidate generation and multiple database scans which resulting in higher memory consumptions. To overcome the issue, the solutions on vertical approaches are proposed. One of the established algorithms in vertical data format is Eclat.ECLAT or Equivalence Class Transformation algorithm is one example solution that lies in vertical database format. Because of its, fast intersection‟, in this paper, we analyze the fundamental Eclat and Eclatvariants such asdiffsetand sortdiffset. In response to vertical data format and as a continuity to Eclat extension, we propose a postdiffset algorithm as a new member in Eclat variants that use tidset format in the first looping and diffset in the later looping. In this paper, we present the performance of Postdiffset algorithm prior to implementation in mining of infrequent or rare itemset.Postdiffset algorithm outperforms 23% and 84% to diffset and sortdiffset in mushroom and 94% and 99% to diffset and sortdiffset in retail dataset.
Volume: 8
Issue: 6
Page: 4477-4485
Publish at: 2018-12-01

Thermoelectric Generator for the Recovery of Energy from the Low-Grade Heat Sources in Sugar Industry

10.11591/ijpeds.v9.i4.pp1565-1572
Weera Punin , Somchai Maneewan , Chantana Punlek
In the current work, a thermoelectric power generation system was designed for an assessment of opportunities in terms of electricity production through the utilization of waste heat from sugarcane industries. In this study, the thermoelectric cooling of TEC1-12708T200 was appropriate for use in electric power generation from low-grade heat sources. The experiments used ten thermoelectric modules and an aluminum water block installed on the exterior surface area of a sugar boiler to achieve the same water flow as a traditional system. The results revealed that the power generation system could generate about 30 W (25.7 V, 1.17 A) at a matched load of approximately 36.8 Ω. The thermoelectric power generation system could convert 12.5% of heat energy into electrical energy. Therefore, the thermoelectric power generation system designed in this study could be an effective alternative for waste heat recovery in sugarcane industries.
Volume: 9
Issue: 4
Page: 1565-1572
Publish at: 2018-12-01

Digital Preservation of Intangible Cultural Heritage

10.11591/ijeecs.v12.i3.pp1373-1379
Wan Malini Wan Isa , Nor Azan Mat Zin , Fadhilah Rosdi , Hafiz Mohd Sarim
Cultural heritage reflects a society’s identity, hence should be protected and preserved for the future generation. Digital preservation is significant for cultural heritage since there are a lot of important knowledge and collections of manuscripts and artefacts which need to be preserved to ensure sustainability for future generations. However, there is still a lack in digital preservation methods for cultural heritage especially intangible cultural heritage. This paper discusses cultural heritage and results of a study on intangible cultural heritage preservation. An interview with five experts in intangible cultural heritage domain has been carried out.  Results show that level of awareness of preserving intangible cultural heritage is still low. In addition, the heritage practitioners - artisans and craftsmen keep the knowledge and skills in their memory as preservation method.  Thus the knowledge depend on individual practitioners since no documentation is made. Informants are also aware of the importance of digitalization of intangible cultural heritage knowledge for the preservation and safeguard.
Volume: 12
Issue: 3
Page: 1373-1379
Publish at: 2018-12-01
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